| 2026 | AAAI | AuditAgent: LLM Agent for Risks Auditing in Recommender Systems. | Du Su, Zhenxing Chen, Shilong Zhao, Yuanhao Liu, Fei Sun, Qi Cao, Huawei Shen |
| 2026 | AAAI | RLKD: Distilling LLMs' Reasoning via Reinforcement Learning. | Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | HAG: Hierarchical Demographic Tree-based Agent Generation for Topic-Adaptive Simulation. | Rongxin Chen, Tianyu Wu, Bingbing Xu, Jiatang Luo, Xiucheng Xu, Huawei Shen |
| 2026 | ACL | Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification. | Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Zihe Huang, Jiayi Wu, Yu Yan, Jingcheng Deng, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | Steering Away from Refusal: A Black-box Jailbreak Method Based on First-Token Distribution. | Shuangjie Fu, Du Su, Xin Chen, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems. | Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis. | Zihao Wei, Liang Pang, Jiahao Liu, Wenjie Shi, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding. | Tian Xueyun, Wei Li, Bingbing Xu, Heng Dong, Yuanzhuo Wang, Huawei Shen |
| 2026 | ACL | Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization. | Tian Xueyun, Minghua Ma, Bingbing Xu, Nuoyan Lyu, Wei Li, Heng Dong, Zheng Chu, Yuanzhuo Wang, Huawei Shen |
| 2026 | ACL | Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents. | Xiucheng Xu, Bingbing Xu, Tian Xueyun, Zihe Huang, Rongxin Chen, Yunfan Li, Huawei Shen |
| 2026 | DASFAA | Skyline Community Search over Edge-Attributed Bipartite Graphs. | Fangda Guo, Xuanpu Luo, Shiyuan Xu, Haowen Gao, Yanghao Liu, Huawei Shen, Xueqi Cheng |
| 2026 | ECIR | Event-Aware Video Corpus Moment Retrieval. | Danyang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2026 | ECIR | Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization. | Yan Lei, Suncong Zheng, Roberts Wang, Liang Pang, Lei He, Shuang Chen, Yu Wang, Huawei Shen, Xueqi Cheng, Yuanzhuo Wang |
| 2026 | WWW | D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models. | Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2026 | WWW | Fairness at a Glance: Can We Audit Model Fairness Before Training Completes? | Yuanhao Liu, Qi Cao, Huawei Shen, Xueqi Cheng |
| 2026 | SIGIR | AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation. | Kaike Zhang, Qi Cao, Fei Sun, Xinran Liu, Huawei Shen, Xueqi Cheng |
| 2026 | WSDM | Multi-Personality Generation of LLMs at Decoding-time. | Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen |
| 2025 | ACL | ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. | Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng |
| 2025 | ACL | Low-Entropy Watermark Detection via Bayes' Rule Derived Detector. | Beining Huang, Du Su, Fei Sun, Qi Cao, Huawei Shen, Xueqi Cheng |
| 2025 | ACL | From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment. | Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen |
| 2025 | ACL | The Mirage of Model Editing: Revisiting Evaluation in the Wild. | Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng |
| 2025 | CIKM | Let Topology Speak: Graph Neural Network with Topology-Aware Augmentation. | Kangzhuo Chen, Xiaoqian Sun, Huawei Shen, Xueqi Cheng |
| 2025 | COLING | Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. | Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2025 | COLING | MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. | Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. | Jingcheng Deng, Zhongtao Jiang, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | Jailbreak LLMs through Internal Stance Manipulation. | Shuangjie Fu, Du Su, Beining Huang, Fei Sun, Jingang Wang, Wei Chen, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | Differentiated Vision: Unveiling Entity-Specific Visual Modality Requirements for Multimodal Knowledge Graph. | Minghang Liu, Yinghan Shen, Zihe Huang, Yuanzhuo Wang, Xuhui Jiang, Huawei Shen |
| 2025 | EMNLP | Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. | Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models. | Yilong Xu, Jinhua Gao, Xiaoming Yu, Yuanhai Xue, Baolong Bi, Huawei Shen, Xueqi Cheng |
| 2025 | ICLR | Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models. | Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng |
| 2025 | ICLR | A Theory for Token-Level Harmonization in Retrieval-Augmented Generation. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2025 | ICLR | Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. | Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng |
| 2025 | NAACL | Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject. | Zenghao Duan, Wenbin Duan, Zhiyi Yin, Yinghan Shen, Shaoling Jing, Jie Zhang, Huawei Shen, Xueqi Cheng |
| 2025 | NAACL | PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree. | Xiang Li, Zhiyi Yin, Hexiang Tan, Shaoling Jing, Du Su, Yi Cheng, Huawei Shen, Fei Sun |
| 2025 | NAACL | SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs. | Zhichao Shi, Shaoling Jing, Yi Cheng, Hao Zhang, Yuanzhuo Wang, Jie Zhang, Huawei Shen, Xueqi Cheng |
| 2025 | NAACL | ALiiCE: Evaluating Positional Fine-grained Citation Generation. | Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng |
| 2025 | WWW | Personalized Denoising Implicit Feedback for Robust Recommender System. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2025 | WWW | Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling. | Shengmao Zhu, Bingbing Xu, Yige Yuan, Bin Xie, Yunfan Li, Huawei Shen |
| 2025 | SIGIR | InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. | Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2025 | SIGIR | Fact-Level Calibration and Correction for Long-Form Generations. | Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng |
| 2024 | AAAI | PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. | Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | AAAI | Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. | Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou |
| 2024 | ACL | Unlocking the Power of Large Language Models for Entity Alignment. | Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang |
| 2024 | ACL | When to Trust LLMs: Aligning Confidence with Response Quality. | Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding |
| 2024 | ACL | Plot Retrieval as an Assessment of Abstract Semantic Association. | Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | ACL | Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. | Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | CIKM | FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. | Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng |
| 2024 | COLING | Qsnail: A Questionnaire Dataset for Sequential Question Generation. | Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng |
| 2024 | CVPR | TEA: Test-Time Energy Adaptation. | Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | DASFAA | History Driven Sampling for Scalable Graph Neural Networks. | Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2024 | DASFAA | S | Yinghan Shen, Yu Yan, Dechun Yin, Huawei Shen |
| 2024 | EMNLP | PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks. | Yu Chen, Qi Cao, Kaike Zhang, Xuchao Liu, Huawei Shen |
| 2024 | EMNLP | Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. | Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2024 | EMNLP | The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. | Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen |
| 2024 | ICASSP | BCC: Bidirectional Consistency Constraint Method for Hierarchical Text Classification. | Yinghan Shen, Yu Yan, Dechun Yin, Huawei Shen |
| 2024 | ICDE | SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. | Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng |
| 2024 | NAACL | Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. | Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2024 | RecSys | Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. | Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen |
| 2024 | RecSys | Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | WWW | Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. | Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen |
| 2024 | WWW | Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. | Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen |
| 2024 | WWW | Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2024 | WWW | List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. | Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng |
| 2024 | SIGIR | Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. | Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2024 | SIGIR | Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. | Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng |
| 2024 | SIGIR | LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | SDM | Graph Summarization for Preserving Spectral Characteristics. | Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng |
| 2023 | AAAI | A Provable Framework of Learning Graph Embeddings via Summarization. | Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng |
| 2023 | ACL | BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2023 | ACL | SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. | Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. | Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen |
| 2023 | CIKM | Causality and Independence Enhancement for Biased Node Classification. | Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. | Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen |
| 2023 | CIKM | TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. | Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | CANA: Causal-enhanced Social Network Alignment. | Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | Improving Graph Domain Adaptation with Network Hierarchy. | Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. | Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | DASFAA | Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. | Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng |
| 2023 | DASFAA | Meta-Path Based Social Relation Reasoning in a Deep and Robust Way. | Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Huawei Shen, Chengjin Xu, Shengjie Ma |
| 2023 | EMNLP | RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. | Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2023 | EMNLP | MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. | Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2023 | EMNLP | LLMDet: A Third Party Large Language Models Generated Text Detection Tool. | Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2023 | EMNLP | ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation. | Kun Zhang, Xiexiong Lin, Yuanzhuo Wang, Xin Zhang, Fei Sun, Jianhe Cen, Hexiang Tan, Xuhui Jiang, Huawei Shen |
| 2023 | KDD | DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. | Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng |
| 2023 | KDD | MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. | Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen |
| 2023 | WWW | Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. | Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng |
| 2023 | WWW | Simple Multi-view Can Bring Powerful Graph Neural Network. | Bingbing Xu, Yang Li, Qi Cao, Huawei Shen |
| 2023 | WWW | Towards Deeper Graph Neural Networks via Layer-Adaptive. | Bingbing Xu, Bin Xie, Huawei Shen |
| 2023 | SIGIR | Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. | Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng |
| 2022 | CIKM | Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2022 | COLING | Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases. | Kun Zhang, Yunqi Qiu, Yuanzhuo Wang, Long Bai, Wei Li, Xuhui Jiang, Huawei Shen, Xueqi Cheng |
| 2022 | ICML | Conditional GANs with Auxiliary Discriminative Classifier. | Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng |
| 2022 | ICONIP | SCIEnt: A Semantic-Feature-Based Framework for Core Information Extraction from Web Pages. | Zhiwei Wang, Yan Guo, Yangyuanxiang Xu, Yuanhai Xue, Yue Liu, Huawei Shen, Xueqi Cheng |
| 2022 | IJCNN | Towards Powerful Graph Contrastive Learning without Negative Examples. | Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng |
| 2022 | IJCNN | Region-based Cross-modal Retrieval. | Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2022 | IPIN | Coordinate Mapping Method of Crowdsourced Data for Indoor Fingerprint Localization. | Zhengyi Li, Wen Li, Dongyan Wei, Hong Yuan, Bingbing Xu, Huawei Shen |
| 2022 | KDD | Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. | Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng |
| 2022 | WWW | PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. | Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng |
| 2022 | SIGIR | Few-Shot Stance Detection via Target-Aware Prompt Distillation. | Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2022 | SIGIR | INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. | Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng |
| 2022 | SIGIR | LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. | Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2022 | WSDM | ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. | Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2021 | AAAI | Beyond Low-frequency Information in Graph Convolutional Networks. | Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen |
| 2021 | AAAI | Slimmable Generative Adversarial Networks. | Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang |
| 2021 | AAAI | SDGNN: Learning Node Representation for Signed Directed Networks. | Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng |
| 2021 | AAAI | Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. | Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng |
| 2021 | AAAI | AugSplicing: Synchronized Behavior Detection in Streaming Tensors. | Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng |
| 2021 | CIKM | Signed Bipartite Graph Neural Networks. | Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng |
| 2021 | CIKM | Locate Who You Are: Matching Geo-location to Text for User Identity Linkage. | Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng |
| 2021 | CIKM | Single Node Injection Attack against Graph Neural Networks. | Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng |
| 2021 | EMNLP | Transductive Learning for Unsupervised Text Style Transfer. | Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng |
| 2021 | EMNLP | Adaptive Information Seeking for Open-Domain Question Answering. | Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2021 | ICWSM | SIGNLENS: A Tool for Analyzing People's Polarization Social Relationship Based on Signed Graph Modeling. | Junjie Huang, Huawei Shen, Xueqi Cheng |
| 2021 | ICWSM | How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising. | Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng |
| 2021 | PAKDD | Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. | Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2021 | PAKDD | CubeFlow: Money Laundering Detection with Coupled Tensors. | Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng |
| 2021 | PAKDD | Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. | Ruizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2021 | SIGIR | Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. | Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng |
| 2021 | WSDM | Adversarial Immunization for Certifiable Robustness on Graphs. | Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng |
| 2021 | SDM | DPGS: Degree-Preserving Graph Summarization. | Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng |
| 2020 | ECAI | Dual Rejection Sampling for Wasserstein Auto-Encoders. | Liang Hou, Huawei Shen, Xueqi Cheng |
| 2020 | PAKDD | Modeling Users' Multifaceted Interest Correlation for Social Recommendation. | Hao Wang, Huawei Shen, Xueqi Cheng |
| 2020 | PAKDD | Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation. | Hao Wang, Huawei Shen, Xueqi Cheng |
| 2020 | SIGIR | Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. | Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2020 | WSDM | Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. | Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng |
| 2019 | CIKM | GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications. | Huawei Shen, Jian Tang, Peng Bao |
| 2019 | ICANN | Signed Graph Attention Networks. | Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng |
| 2019 | ICLR | Graph Wavelet Neural Network. | Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng |
| 2019 | IJCAI | Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. | Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng |
| 2019 | PAKDD | Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. | Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng |
| 2019 | WWW | What We Vote for? Answer Selection from User Expertise View in Community Question Answering. | Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng |
| 2019 | WWW | Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. | Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2019 | SIGIR | Unified Collaborative Filtering over Graph Embeddings. | Pengfei Wang, Hanxiong Chen, Yadong Zhu, Huawei Shen, Yongfeng Zhang |
| 2018 | AAAI | Towards Efficient Detection of Overlapping Communities in Massive Networks. | Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng |
| 2018 | IJCAI | Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. | Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng |
| 2017 | CIKM | DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. | Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng |
| 2017 | CIKM | Truth Discovery by Claim and Source Embedding. | Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng |
| 2017 | CIKM | A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. | Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng |
| 2017 | IJCAI | Learning Concise Representations of Users' Influences through Online Behaviors. | Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao |
| 2017 | IJCAI | Cross-Domain Recommendation: An Embedding and Mapping Approach. | Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng |
| 2017 | IJCAI | Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. | Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng |
| 2017 | PAKDD | Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification. | Yahui Liu, Xiaolong Jin, Huawei Shen, Xueqi Cheng |
| 2017 | PAKDD | Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. | Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2017 | WWW | Predicting the Popularity of Online Content with Group-specific Models. | Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng |
| 2016 | IJCAI | Predict Anchor Links across Social Networks via an Embedding Approach. | Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng |
| 2016 | WWW | Modeling and Predicting Retweeting Dynamics via a Mixture Process. | Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng |
| 2015 | AAAI | Learning User-Specific Latent Influence and Susceptibility from Information Cascades. | Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng |
| 2015 | CIKM | Context-Adaptive Matrix Factorization for Multi-Context Recommendation. | Tong Man, Huawei Shen, Junming Huang, Xueqi Cheng |
| 2015 | WWW | Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes. | Peng Bao, Huawei Shen, Xiaolong Jin, Xueqi Cheng |
| 2014 | SIGIR | IMRank: influence maximization via finding self-consistent ranking. | Suqi Cheng, Huawei Shen, Junming Huang, Wei Chen, Xueqi Cheng |
| 2013 | CIKM | StaticGreedy: solving the scalability-accuracy dilemma in influence maximization. | Suqi Cheng, Huawei Shen, Junming Huang, Guoqing Zhang, Xueqi Cheng |
| 2013 | CIKM | Adaptive co-training SVM for sentiment classification on tweets. | Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng, Huawei Shen |
| 2013 | WWW | Popularity prediction in microblogging network: a case study on sina weibo. | Peng Bao, Huawei Shen, Junming Huang, Xueqi Cheng |
| 2012 | WSDM | Exploring social influence via posterior effect of word-of-mouth recommendations. | Junming Huang, Xueqi Cheng, Huawei Shen, Tao Zhou, Xiaolong Jin |
| 2011 | ICCCN | A White-Box Empirical Study of P2P-VoD Systems: Several Unconventional New Findings. | Tieying Zhang, Zhenhua Li, Huawei Shen, Yan Huang, Xueqi Cheng |
| 2011 | IJCAI | Multi-Select Faceted Navigation Based on Minimum Description Length Principle. | Chao He, Xueqi Cheng, Jiafeng Guo, Huawei Shen |
| 2011 | WWW | A unified framework for recommending diverse and relevant queries. | Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du, Huawei Shen |
| 2010 | CIKM | A structured approach to query recommendation with social annotation data. | Jiafeng Guo, Xueqi Cheng, Gu Xu, Huawei Shen |
| 2010 | ECAI | Social Recommendation with Interpersonal Influence. | Junming Huang, Xueqi Cheng, Jiafeng Guo, Huawei Shen, Kun Yang |